o
    !i                     @   s2   d dl mZ d dlmZ dgZG dd deZdS )    )constraints)GammaChi2c                       sF   e Zd ZdZdejiZd
 fdd	Zd
 fdd	Ze	dd	 Z
  ZS )r   a  
    Creates a Chi-squared distribution parameterized by shape parameter :attr:`df`.
    This is exactly equivalent to ``Gamma(alpha=0.5*df, beta=0.5)``

    Example::

        >>> # xdoctest: +IGNORE_WANT("non-deterinistic")
        >>> m = Chi2(torch.tensor([1.0]))
        >>> m.sample()  # Chi2 distributed with shape df=1
        tensor([ 0.1046])

    Args:
        df (float or Tensor): shape parameter of the distribution
    dfNc                    s   t  jd| d|d d S )Ng      ?)validate_args)super__init__)selfr   r   	__class__ g/var/www/html/eduruby.in/lip-sync/lip-sync-env/lib/python3.10/site-packages/torch/distributions/chi2.pyr      s   zChi2.__init__c                    s   |  t|}t ||S N)Z_get_checked_instancer   r   expand)r	   Zbatch_shapeZ	_instancenewr
   r   r   r      s   zChi2.expandc                 C   s
   | j d S )N   )Zconcentration)r	   r   r   r   r      s   
zChi2.dfr   )__name__
__module____qualname____doc__r   ZpositiveZarg_constraintsr   r   propertyr   __classcell__r   r   r
   r   r      s    
N)Ztorch.distributionsr   Ztorch.distributions.gammar   __all__r   r   r   r   r   <module>   s    